OOIR: Observatory of International Research

Papers

(The H4-Index of Mechanical Systems and Signal Processing is 89. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)

Article	Citations
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations	599
Corrigendum to “Design of an adaptive examination system based on artificial intelligence recognition model” [Mech. Syst. Signal Process. 142 (2020) 106656]	402
Identification and semi-active control of structures with abrupt stiffness degradations	393
Adaptive neural chattering suppression pseudo inverse active control for a class of micromilling systems with multiaxis piezoelectric actuators	343
Simulation of non-stationary and non-Gaussian random processes by 3rd-order Spectral Representation Method: Theory and POD implementation	337
Blaschke transform-based Weight Soft Voting Denoise Method and its applications in gear fault diagnosis	268
Hopf bifurcation analysis for a maglev system with two time delays	250
Debonding defect imaging of thermal barrier coating with grating laser acoustic spectroscopy	226
Using mode shape residuals for model updating of a nonlinear structure featuring 1:1 internal resonance	225
Assessing the performance of subspace-based modal identification procedures for systems subjected to structural damage and Coulomb-friction non-linearities	223
A two-stage method to estimate the embedded length of foundation piles using FRF-based model updating	222
A robust algorithm to test the observability of large linear systems with unknown parameters	209
Information theoretic-based optimal sensor placement for virtual sensing using augmented Kalman filtering	206
Identification of non-conforming temporal patterns in mixed shock and vibration data with the Information Impulse Function	201
Integrated transmission vibration reduction technology based on the “isolating-reducing-optimizing” method	192
Identification for nonlinear systems modelled by deep long short-term memory networks based Wiener model	189
A novel subdomain and magnetic circuit modeling method for hybrid homopolar radial magnetic bearings	188
A fully automatic bearing fault diagnosis method based on an improved polar coordinate image texture	185
An operator inference oriented approach for linear mechanical systems	177
Theoretical, numerical and experimental studies on multi-cycle synchronization of two pairs of reversed rotating exciters	176
Analysing regular nonlinear vibrations of nano/micro plates based on the nonlocal theory and combination of reduced order modelling and multiple scale method	171
On the theory of random decrement	162
Prediction of unstable full load conditions in a Francis turbine prototype	159
A multi-objective trajectory planning approach for vibration suppression of a series–parallel hybrid flexible welding manipulator	152
Potential of a vibro-impact nonlinear energy sink for energy harvesting	150

Efficient Laplace prior-based sparse Bayesian learning for structural damage identification and uncertainty quantification	150
Design of cantilever harvesters excited by raindrop impacts	150
Observer-based event-triggered control of steer-by-wire systems with prespecified tracking accuracy	146
Multi-scale enhancement and chatter prediction of milling vibration signals from thin-walled parts based on attentional representation enhancement network	145
Nonlinear ultrasonic Rayleigh wave detection of wear characteristics in TC4 titanium alloy: Correlation with residual stress	140
Simulating stochastic wind loads using spectral proper orthogonal decomposition	139
An adaptive source-free unsupervised domain adaptation method for mechanical fault detection	137
A scalable hybrid analog-digital architecture for multi-channel feedforward active noise control	136
On the stochastic bit–rock interaction disturbances and its effects on the performance of two commercial control strategies used in drill strings	136
Editorial Board	132
Bayesian inference for the dynamic properties of long-span bridges under vortex-induced vibration with Scanlan’s model and dense optical flow scheme	132
Suppressing UAV payload swing with time-varying cable length through nonlinear coupling	131
Statistical distribution measures based on amplitude normalization for wind turbine generator bearing condition monitoring under variable speed conditions	129
A hierarchical Dirichlet process for the background interference suppression to improve the microphone array imaging results	127
A Lock-In thermography based post-processing scheme for the detection of sub-surface rivet-related defects in aircraft structures	127
Modal parameter estimation of turbomachinery in operation taking into account friction damping	122
Normal Sinkhorn Distance: A novel metric for evaluating generated signals and its application in mechanical fault diagnosis	119
A strategy for fast evaluation of nonviscously damped systems with arbitrary kernels	115
Real-time sinusoidal parameter estimation for damage growth monitoring during ultrasonic very high cycle fatigue tests	115
Experimental modelling and analysis of compact hydro-pneumatic interconnected suspension strut considering pneumatic thermodynamics and hydraulic inertial properties	114
A novel drum-shaped metastructure aided weak signal enhancement method for bearing fault diagnosis	113
A novel maximum impulse amplitude deconvolution for rolling bearing weak fault identification enhanced by spectrum information guided VMD	112
A vision-based method for displacement measurement using cross-sinusoidal composite fringe pattern	112
Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains	111
Coded excitation using TOP-CS sequences for multi-channel low-power ultrasonics	111
Adaptive synchronous demodulation transform with application to analyzing multicomponent signals for machinery fault diagnostics	110
A unified sensor and actuator fault diagnosis in digital twins for remote operations	109
Core loss: Mining core samples efficiently for robust machine anomaly detection against data pollution	109
Subharmonic centrifugal pendulum vibration absorbers allowing a rotational mobility	107
Investigation on dynamic behaviors of roller bearing in the planetary gear set under revolution-rotation coupled conditions	107
Simulation of turbulent wind field in multi-spatial dimensions using a novel non-uniform FFT enhanced stochastic wave-based spectral representation method	107
A method for correcting the high-frequency mechanical vibration effects in the dynamic calibration of pressure measurement systems using a shock tube	105
Variational mode decomposition-based multirate data-fusion framework for estimating structural dynamic displacement by integrating vision- and acceleration-based measurements	105
Rebalancing Mel-frequency Cepstrum and parallel fusion model for surface hardness monitoring of laser shock peening using acoustic emission	104
Discriminative feature learning and selection with label-induced sparse filtering for intelligent fault diagnosis of rotating machinery	103
A combined global-local approach for delamination assessment of composites using vibrational frequencies and FBGs	103
Assessing uncertainty in fast Bayesian modal identification based on seismic structural responses	102
A self-sensing approach for estimating suspension displacement and velocity in semi-active electromagnetic dampers	102
Piezoelectric active disturbance rejection control for flow-induced vibration of the wind tunnel test models	102
Parametric sub-structuring models of large space truss structures for structure/control co-design	101
Gaussian assumptions-free interpretable linear discriminant analysis for locating informative frequency bands for machine condition monitoring	100
Nonparametric identification of a micro-electromechanical resonator	99
Physics-driven cross domain digital twin framework for bearing fault diagnosis in non-stationary conditions	99
An in-plane omnidirectional flutter piezoelectric wind energy harvester	99
Increasing knock detection sensitivity by combining knock sensor signal with a control oriented combustion model	99
Physical-virtual time reversing of nonlinear Lamb waves for fatigue crack detection and quantification	98
Formulation of curved beam vibrations and its extended application to train-track spatial interactions	98
Optimization of nonlinear energy sink using Euler-buckled beams combined with piezoelectric energy harvester	97
Switching Kalman filter for damage estimation in the presence of sensor faults	97
Electromechanical behavior of 3-3 piezoelectric star-shaped metamaterial with four types of connection	97

Mode shape construction for bridges from contact responses of a two-axle test vehicle by wavelet transform	96
A four-terminal-architecture cloud-edge-based digital twin system for thermal error control of key machining equipment in production lines	95
Microwave vibration camera: Stereo vision assisted microwave full-field vibration visualization	93
Modelling and stochastic updating of nonlinear structural joints	93
Variational time–frequency adaptive decomposition of machine multi-impact vibration signals	93
Computational investigation of high-order mode localization in electrostatically coupled microbeams with distributed electrodes for high sensitivity mass sensing	92
Impulsive feature extraction with improved singular spectrum decomposition and sparsity-closing morphological analysis	92
A viscoelastic plate model for a glued laminated circular plate in a piezoelectric energy harvester	92
Wave propagation characteristics of controllable gyroscopic chiral metamaterials	91
Identification of the dynamic force and moment characteristics of annular gaps using linear independent rotor whirling motions	91
Vibration energy transfer in nonlinear coupled near-identical systems	91
Advanced optimal sensor placement for Kalman-based multiple-input estimation	90
Dual neural networks based active fault-tolerant control for electromechanical systems with actuator and sensor failure	90
The accuracy losing phenomenon in abrasive tool condition monitoring and a noval WMMC-JDA based data-driven method considered tool stochastic surface morphology	90
A customized dual-transformer framework for remaining useful life prediction of mechanical systems with degraded state	89
Extreme learning machine oriented surface roughness prediction at continuous cutting positions based on monitored acceleration	89
Novel spacer-tuned-mass-damper system for controlling vibrations of hangers	89
A machine learning approach for automatic operational modal analysis	89